In GEC evaluation, we follow the BEA-19 restricted setting to use Lang-8 [1]}, FCE [2]} and WI+LOCNESS [3]} as our training set, validate on CoNLL-13 shared task dataset [4]}, and test on CoNLL-14 shared task dataset [5]}. We train a sentencepiece [6]} model of 2K vocabulary for tokenization, and evaluate with the metric of Max-Match [7]} \(F_{0.5}\) . Due to space limitation, we include more details regarding datasets and training in Appendix.
